CLIMOS

Climate Monitoring and Decision Support Framework for Sand Fly-borne Diseases Detection and Mitigation with COst-benefit and Climate-policy MeasureS

1. September 2022. to 31. May 2026.

Link to Project Websitehttps://climos-project.eu/
Project Number101057690
Funding AgencyHORIZON-RIA – HORIZON Research and Innovation Actions
Lead Organization NameUNL – Universidade Nova de Lisboa
Lead Organization CountryPortugal
Link to Lead Organization Websitehttps://www.unl.pt/en/
Link to Open Science Framework (OSF) public page 

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List of Partner Institutions:

ISTITUTO SUPERIORE DI SANITA Italy https://www.iss.it/web/iss-en
UNIVERZITA KARLOVA Czech Republic. https://cuni.cz/UK-1.html
WAGENINGEN UNIVERSITY Netherlands https://www.wur.nl/en
KARLSRUHER INSTITUT FUER TECHNOLOGIE Germany https://www.kit.edu/
UNIVERZA NA PRIMORSKEM UNIVERSITA DEL LITORALE Slovenia https://www.upr.si/en
UNIVERSIDAD DE MURCIA Spain https://www.um.es/en/
HELMHOLTZ-ZENTRUM FUR UMWELTFORSCHUNG GMBH – UFZ Germany https://www.ufz.de/index.php?de=34257
EGE UNIVERSITY Turkey https://ege.edu.tr/eng-0/homepage.html
PRIVREDNO DRUSTVO ZENTRIX LAB DRUSTVO SA OGRANICENOM ODGOVORNOSCU PANCEVO Serbia https://zentrixlab.com/
UNIVERSITY OF HAIFA Israel https://uhaifa.org/
F6S NETWORK IRELAND LIMITED Ireland https://innovation.f6s.com/
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE France https://www.inserm.fr/
HACETTEPE UNIVERSITESI Turkey https://www.hacettepe.edu.tr/
TRILATERAL RESEARCH LIMITED Ireland https://trilateralresearch.com/
UNIVERSITE DE REIMS CHAMPAGNE-ARDENNE France https://www.univ-reims.fr/accueil/accueil,1,19021.html
POLYTECHNEIO KRITIS Greece https://www.tuc.gr/en/home
MINISTRY OF HEALTH Israel https://me.health.gov.il/en/
PREDICTIA INTELLIGENT DATA SOLUTIONS SL Spain https://predictia.es/en/index.html
MINISTERO DELLA SALUTE Italy https://www.salute.gov.it/portale/home.html
MEDIZINISCHE UNIVERSITAET WIEN Austria https://www.meduniwien.ac.at/web/
UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II Italy https://www.unina.it/it/
GLIGORIJEVIC VLADAN Netherlands https://cubexlab.eu/
Turkiye Cumhuriyeti Saglik Bakanligi Turkey https://www.saglik.gov.tr/
OPEN GEOSPATIAL CONSORTIUM EUROPE Belgium https://www.ogc.org/
UNIVERSITE D’AIX MARSEILLE France https://www.univ-amu.fr/
UNIVERSITY OF WARWICK United Kingdom https://warwick.ac.uk/
UNIVERSITY OF LANCASTER United Kingdom https://www.lancaster.ac.uk/
List of Sampling Locations:
Portugal Metropolitan Region of Lisbon, Algarve Region, Portalegre Region
Turkey Adana (Otluk, Damyeri, Zerdali) Ankara (Gudul, Yesiloz)
France Saint-Ythaire, Rennes, Corsica, Reims, Strasbourg, Paris, Rouen, Limoges, Montpellier, Toulouse, Nice, Verniolle
Spain Araba, Barcelona, Bizkaia, Ciudad Real, Granada, Lugo, Madrid, Murcia, Orense, Pontevedra, Zaragoza
Austria and Germany Lower Austria, Styria, Vienna, Burgenland
Germany Baden-Wurttemberg, Rheinland-Palatinate
Slovenia Velike Zablje, Cetore
Croatia Korona, Kornic
Italy Latium, Tuscany, Sicily
Israel Aderet, Kahal, Negev Mountains, Patish

Climate change is reshaping ecosystems across Europe, enabling disease-carrying insects to survive and spread into new regions. Sand flies transmit zoonotic pathogens that threaten both human and animal health. However, it remains difficult to predict how the climate drives their expansion. The EU-funded CLIMOS project aims to tackle this emerging challenge by quantifying how climate and environmental factors influence sand fly populations and sand fly-borne diseases across Europe. CLIMOS will deliver an early warning system and decision-support tools to forecast infection risk, geographic spread and adaptation options. An open-access interactive platform will integrate surveillance data, climate information and modelling tools to support decisions by public authorities, researchers and policymakers.

Field of action:

Animal (Invertebrates [Arthropods: Insects]), Microbes/Parasites (Viral, Unicellular eukaryotes), Environments (Temperate grassland, Temperate forest, Desert, Other [urban/suburban areas), Environmental changes (Climate change), Disease metrics (Seroprevalence [animal], Seroprevalence [human])

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